Control And Peak-to-peak Filtering Of Nonlinear Networked Systems With Quantization And Packet Dropouts

Compared with the traditional point-to-point control system,the networked control system has many advantages such as fast installation speed,strong anti-interference ability and low design cost.It has been widely used in many fields such as aerospace,industrial automation and drone control.However,due to the limited ability of the communication network to transmit information,the stability analysis and performance design of the system becomes very difficult when the control system needs to transmit a large amount of real-time data.Signal quantization and data dropouts are one of the main causes of this problem.Therefore,the research control system still maintains stable and excellent dynamic performance under the influence of signal quantization and packet dropouts,has become one of the hot research directions in the control field.Based on the existing research results,this dissertation studies the problem of the peak-to-peak control and filtering for nonlinear networked control systems with multipath data packet dropouts and signal quantization.First,this dissertation studies the peak-to-peak filter design problem for nonlinear networked control system with multipath signal quantization.By using T-S fuzzy model,linear matrix inequality technique and fuzzy Lyapunov function method,the peak-to-peak filter design conditions are less conservative than the existing literature.Secondly,this dissertation studies the design problem of peak-to-peak filters for nonlinear networked control systems with multipath data packet dropouts and solves the problem of nonlinear coupling in the design conditions of peak-to-peak filters in existing literature.Finally,based on the above two parts,this dissertation studies the design problem of peak-to-peak controller and filter for a nonlinear networked control system with multipath signal quantization and data packet dropouts.The obtained design conditions of peak-to-peak controller and filter which are more suitable for practical engineering applications.